Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Hsien-Yi Wang"'
Autor:
I-Ning Yang, Chi-Ya Huang, Chun-Ting Yang, Han-Siong Toh, Wei-Ting Chang, Li-Wei Su, Yu-Min Lin, Ming-Cheng Wang, Hsien-Yi Wang, Chia-Te Liao
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionAlthough angiotensin receptor-neprilysin inhibitor (ARNI) has shown promise in patients with heart failure and reduced ejection fraction (HFrEF), the treatment effect in HFrEF patients with end-stage renal disease (ESRD) undergoing dialys
Externí odkaz:
https://doaj.org/article/4ee735a23d084c7d93b692e9864fa497
Autor:
Chiu-Ying Hsiao, Heng-Chih Pan, Vin-Cent Wu, Ching-Chun Su, Tzu-Hsuan Yeh, Min-Hsiang Chuang, Kuan-Chieh Tu, Hsien-Yi Wang, Wei-Chih Kan, Chun-Chi Yang, Jui-Yi Chen
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundCOVID-19 and influenza can both lead to acute kidney injury (AKI) as a common complication. However, no meta-analysis has been conducted to directly compare the incidence of AKI between hospitalized patients with COVID-19 and influenza. The
Externí odkaz:
https://doaj.org/article/7bf4357904fb43ec8cbc5179b930eadc
Publikováno v:
Health and Quality of Life Outcomes, Vol 18, Iss 1, Pp 1-9 (2020)
Abstract Background Ferguson’s δ and Gini coefficient (GC) are defined as contrasting statistical measures of inequality among members within populations. However, the association and cutting points for these two statistics are still unclear; a vi
Externí odkaz:
https://doaj.org/article/f34275d3266b41fdb6f5c1048903cd6a
Publikováno v:
BMC Health Services Research, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background This work aims to apply data-detection algorithms to predict the possible deductions of reimbursement from Taiwan’s Bureau of National Health Insurance (BNHI), and to design an online dashboard to send alerts and reminders to ph
Externí odkaz:
https://doaj.org/article/aab58993984347b89ebc3584b69f7f2b
Publikováno v:
IEEE Photonics Journal, Vol 7, Iss 1, Pp 1-8 (2015)
A new approach for performing confocal microscopy without no mechanical scanners was reported by a broadband light source, two similar 2-D wavelength-dispersive optical elements, and an uncooled charge-coupled device (CCD). In the new approach, 2-D s
Externí odkaz:
https://doaj.org/article/c22fc13ea77c42368728f08fac7d28d8
Publikováno v:
IEEE Photonics Journal, Vol 7, Iss 3, Pp 1-8 (2015)
A fiber-laser-based femtosecond dispersive wave laser source, operated within the 1.2to 1.3-μm bio-penetration wavelength window, and its application on nonlinear light microscopy were both demonstrated in this paper. This portable 1.2-μm femtoseco
Externí odkaz:
https://doaj.org/article/8a8d76357a054a8d83883a12b68f7473
Autor:
Hsien-Yi Wang, 王獻毅
104
To achieve sustainable operations, all manufacturing companies continuously improve quality and increase efficiency. With investment and help of the information technology system, business owners expect to well manage the production capacity
To achieve sustainable operations, all manufacturing companies continuously improve quality and increase efficiency. With investment and help of the information technology system, business owners expect to well manage the production capacity
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/09687666757746601082
Publikováno v:
Journal of Clinical Endocrinology & Metabolism; Mar2024, Vol. 109 Issue 3, pe965-e974, 10p
Publikováno v:
Medicine. 101(38)
Polycystic kidney disease (PKD) is a genetic disorder in which the renal tubules become structurally abnormal, resulting in the development and growth of multiple cysts within the kidneys. Numerous studies on PKD have been published in the literature
BACKGROUND Objective structured clinical examination (OSCE) has become an acceptable method for evaluating clinical skills in healthcare settings. However, none of the current literature has used visualization plots to compare individual OSCE perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d03c6b3e0abc19e93cd94e3259eafcc
https://doi.org/10.2196/preprints.35741
https://doi.org/10.2196/preprints.35741